Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Strong employer brand and metro location but specialized senior analytics requirements yield medium competition.
Advanced analytics skills transfer across industries, but retail domain and merchant partnerships increase domain specificity.
Multiple mandatory advanced analytics, big-data platform, and AI experience requirements indicate high shortlisting strictness.
Lead advanced analytics and AI-driven projects across merchandising, marketing, supply chain, and other business domains to influence strategy and outcomes.
Translate complex and ambiguous business problems into structured, actionable analytical solutions including forecasting, optimization, and decision modeling.
Collaborate closely with business stakeholders to validate requirements, deliver insights, and measure business impact of data-driven initiatives using large-scale datasets and cloud platforms.
Experience Required: Not explicitly mentioned in the JD
Proficiency with large-scale data platforms such as GCP BigQuery, Spark, and SQL-based data warehouses.
Skilled in advanced analytics techniques including causal, predictive, prescriptive analytics, and experience with AI-driven workflows.
Experience developing and maintaining data pipelines using orchestration tools like Airflow or similar.
Experienced in applying analytics and AI to retail or merchandising strategy with measurable business impact.
Capable of independently managing end-to-end analytical projects from problem framing through solution delivery and stakeholder communication.
Strong technical proficiency combined with business acumen to influence executive and merchant audiences with clear, impactful storytelling based on data.